Publication: Modeling the dynamics of backyard chicken flows in traditional trade networks in Thailand: Implications for surveillance and control of avian influenza
Issued Date
2014-01-01
Resource Type
ISSN
15737438
00494747
00494747
Other identifier(s)
2-s2.0-84900807431
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Mahidol University
Rights Holder(s)
SCOPUS
Bibliographic Citation
Tropical Animal Health and Production. Vol.46, No.5 (2014), 845-853
Suggested Citation
Anuwat Wiratsudakul, Mathilde Cécile Paul, Dominique Joseph Bicout, Thanawat Tiensin, Wannapong Triampo, Karine Chalvet-Monfray Modeling the dynamics of backyard chicken flows in traditional trade networks in Thailand: Implications for surveillance and control of avian influenza. Tropical Animal Health and Production. Vol.46, No.5 (2014), 845-853. doi:10.1007/s11250-014-0575-8 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/33163
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Title
Modeling the dynamics of backyard chicken flows in traditional trade networks in Thailand: Implications for surveillance and control of avian influenza
Abstract
In Southeast Asia, traditional poultry marketing chains have been threatened by epidemics caused by the highly pathogenic avian influenza H5N1 (HPAI H5N1) virus. In Thailand, the trade of live backyard chickens is based on the activities of traders buying chickens from villages and supplying urban markets with chicken meat. This study aims to quantify the flows of chickens traded during a 1-year period in a province of Thailand. A compartmental stochastic dynamic model was constructed to illustrate trade flows of live chickens from villages to slaughterhouses. Live poultry movements present important temporal variations with increased activities during the 15 days preceding the Chinese New Year and, to a lesser extent, other festivals (Qingming Festival, Thai New Year, Hungry Ghost Festival, and International New Year). The average distance of poultry movements ranges from 4 to 25 km, defining a spatial scale for the risk of avian influenza that spread through traditional poultry marketing chains. Some characteristics of traditional poultry networks in Thailand, such as overlapping chicken supply zones, may facilitate disease diffusion over longer distances through combined expansion and relocation processes. This information may be of use in tailoring avian influenza and other emerging infectious poultry disease surveillance and control programs provided that the cost-effectiveness of such scenarios is also evaluated in further studies. © 2014 Springer Science+Business Media Dordrecht.
